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Quantification of motor unit synchronization from surface EMG signals with minimized dependency on muscle fibre conduction velocity
Umeå universitet, Medicinska fakulteten, Institutionen för strålningsvetenskaper.
Umeå universitet, Medicinska fakulteten, Institutionen för strålningsvetenskaper.
(Engelska)Manuskript (preprint) (Övrigt vetenskapligt)
Nationell ämneskategori
Neurovetenskaper Fysiologi
Identifikatorer
URN: urn:nbn:se:umu:diva-5613OAI: oai:DiVA.org:umu-5613DiVA, id: diva2:145187
Tillgänglig från: 2006-12-22 Skapad: 2006-12-22 Senast uppdaterad: 2018-06-09Bibliografiskt granskad
Ingår i avhandling
1. Spatio-temporal processing of surface electromyographic signals: information on neuromuscular function and control
Öppna denna publikation i ny flik eller fönster >>Spatio-temporal processing of surface electromyographic signals: information on neuromuscular function and control
2006 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

During muscle contraction, electrical signals are generated by the muscle cells. The analysis of those signals is called electromyography (EMG). The EMG signal is mainly determined by physiological factors including so called central factors (central nervous system origin) and peripheral factors (muscle tissue origin). In addition, during the acquisition of EMG signals, technical factors are introduced (measurement equipment origin). The aim of this dissertation was to develop and evaluate methods to estimate physiological properties of the muscles using multichannel surface EMG (MCsEMG) signals.

In order to obtain accurate physiological estimates, a method for automatic signal quality estimation was developed. The method’s performance was evaluated using visually classified signals, and the results demonstrated high classification accuracy.

A method for estimation of the muscle fibre conduction velocity (MFCV) and the muscle fibre orientation (MFO) was developed. The method was evaluated with synthetic signals and demonstrated high estimation precision at low contraction levels.

In order to discriminate between the estimates of MFCV and MFO belonging to single or populations of motor units (MUs), density regions of so called spatial distributions were examined. This method was applied in a study of the trapezius muscle and demonstrated spatial separation of MFCV (as well as MFO) even at high contraction levels.

In addition, a method for quantification of MU synchronisation was developed. The performance on synthetic sEMG signals showed high sensitivity on MU synchronisation and robustness to changes in MFCV. The method was applied in a study of the biceps brachii muscle and the relation to force tremor during fatigue. The results showed that MU synchronisation accounted for about 40 % of the force tremor.

In conclusion, new sEMG methods were developed to study muscle function and motor control in terms of muscle architecture, muscle fibre characteristics, and processes within the central nervous system.

Ort, förlag, år, upplaga, sidor
Umeå: Umeå universitet, 2006. s. 97
Serie
Umeå University medical dissertations, ISSN 0346-6612 ; 1078
Nyckelord
EMG, multichannel surface electromyography, motor unit action potentials, conduction velocity, muscle architecture, signal quality, spatial distributions, synchronization, muscle function, motor control
Nationell ämneskategori
Medicinteknik
Forskningsämne
biomedicinsk strålningsvetenskap
Identifikatorer
urn:nbn:se:umu:diva-958 (URN)978-91-7264-239-3 (ISBN)91-7264-239-4 (ISBN)
Disputation
2007-01-12, Lionssalen (sal 244), 7, NUS, Umeå, 13:00 (Engelska)
Opponent
Tillgänglig från: 2006-12-22 Skapad: 2006-12-22 Senast uppdaterad: 2018-06-09Bibliografiskt granskad

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Grönlund, ChristerKarlsson, J Stefan

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